用表面肌电图识别手部运动的基本模式

Felipe S. Coronel-Maldonado, Rodrigo A. Pinto-León, F. Bueno-Palomeque
{"title":"用表面肌电图识别手部运动的基本模式","authors":"Felipe S. Coronel-Maldonado, Rodrigo A. Pinto-León, F. Bueno-Palomeque","doi":"10.1109/ROPEC.2017.8261658","DOIUrl":null,"url":null,"abstract":"This article shows the identification of three kinds of basic movements of the hand, which extracts essential characteristics to be used in the recognition of movement patterns. These electromyographic signals were acquired using the Myo device.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of basic patterns in hand movements using surface electromyography\",\"authors\":\"Felipe S. Coronel-Maldonado, Rodrigo A. Pinto-León, F. Bueno-Palomeque\",\"doi\":\"10.1109/ROPEC.2017.8261658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article shows the identification of three kinds of basic movements of the hand, which extracts essential characteristics to be used in the recognition of movement patterns. These electromyographic signals were acquired using the Myo device.\",\"PeriodicalId\":260469,\"journal\":{\"name\":\"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROPEC.2017.8261658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROPEC.2017.8261658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文通过对三种手部基本动作的识别,提取出基本特征,用于手部动作模式的识别。这些肌电图信号是使用Myo装置获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identification of basic patterns in hand movements using surface electromyography
This article shows the identification of three kinds of basic movements of the hand, which extracts essential characteristics to be used in the recognition of movement patterns. These electromyographic signals were acquired using the Myo device.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The teaching-learning of Graph Theory with the support of Learn Graph-Ware software Efficiency based comparative analysis of selected classical MPPT methods YOCASTA: A ludic-interactive system to support the detection of anxiety and lack of concentration in children with disabilities Design and analysis of performance of a forward converter with winding tertiary Sags and swells compensation and power factor correction using a dynamic voltage restorer in distribution systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1